Enhancing Community Detection With Hybrid Quantum-Inspired Evolutionary Algorithms
IGI Global eBooks,
Год журнала:
2025,
Номер
unknown, С. 221 - 244
Опубликована: Фев. 28, 2025
The
chapter
expands
upon
the
concepts
of
using
hybrid
QIEAs
in
enhancing
existing
community
detection
networks.
Thus,
as
communities
are
becoming
more
digital
untold
need
for
sophisticated
algorithms
that
can
handle
and
coordinate
interactions
is
critical.
In
this
chapter,
reader
will
be
introduced
to
general
quantum
computing
an
overview
technique
evolutionary
algorithms,
which
allow
subsequent
detailed
elaboration
interconnection
between
two
fields.
we
first
introduce
idea
development
usage
QIEAs,
focusing
on
theoretical
methods
integrate
classical
information
solving
problems
cannot
approached
by
traditional
EA.
Язык: Английский
Whispers of Sound: Enhancing Information Extraction from Depression Patients' Unstructured Data through Audio and Text Emotion Recognition and Llama Fine-Tuning
Journal of medicine and health science.,
Год журнала:
2025,
Номер
3(1), С. 28 - 33
Опубликована: Март 1, 2025
Mental
health
issues
present
significant
global
challenges,
affecting
over
20%
of
adults
at
some
point
in
their
lives.
While
large
language
models
have
shown
promise
various
fields,
application
mental
remains
underexplored.
This
study
assesses
how
effectively
these
can
be
applied
to
health,
using
the
DAIC-WOZ
text
datasets
and
RAVDESS
audio
datasets.
Given
challenges
missing
non-verbal
cues
ambiguous
terms
data,
data
was
incorporated
during
training
address
gaps.
integration
enhanced
models'
ability
comprehend,
extract,
summarize
complex
information,
particularly
depression
assessments.
Additionally,
technical
optimizations,
such
as
increasing
model's
max_length
8192,
reduced
GPU
memory
usage
by
40%-50%
improved
context
processing,
leading
substantial
gains
handling
data.
Язык: Английский